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Staff Data Scientist (Marketing)
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Staff Data Scientist (Marketing)

发布于 大约 2 个月前

普通员工/个人贡献者

Taipei, Taiwan
高级经验
全职员工
仅现场办公
学历未注明
数据分析与科学
E-Commerce
Machine Learning
Cloud (Aws/Gcp)
CRM
SQL

AI 估算 · 35k–45k

Senior data scientist role in e-commerce; competitive market rate in Taiwan.

职位详情

关于这个职位

As a Staff Data Scientist on the marketing team, you will analyze vast amounts of data to drive marketing strategies and customer engagement. You'll build machine learning models, perform A/B testing, and create data pipelines to support Coupang's expansion in Taiwan. This is a hands-on role requiring strong technical skills and business acumen.

最低要求

+ years’ working experience in machine learning.

+ years’ working experience in SQL.
+ years’ working experience in Python.
Attention to detail with ability to validate data, identify data flaws, and create analytical reports.
Strong critical thinking and problem-solving skills.
Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
Strong communication skills to share analysis results in clear and concise manners.
Proficiency in both Mandarin and English (both verbal and written).

工作职责

Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.

Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
Train and deploy machine learning models on both in-house and cloud-based platforms.
Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
Create a data pipeline to ensure data availability and quality.
Interpret and present your data story to marketing leadership.
Foster an analytic culture as part of a growing data team.

优先资格

Experience in retail / E-commerce industries.

Experience in growth marketing and CRM function.
Master’s degree in business analytics, data analytics, data science or equivalent experience.
Experience in data ETL and data engineering.
Experience in AWS or GCP.
Strong English skills (both verbal and written).

AI 洞察

优缺点分析

优点

  • Work with massive datasets and cutting-edge ML techniques in a fast-growing e-commerce company.
  • High visibility and impact on marketing strategy and customer experience.
  • Opportunity to collaborate with a diverse, global team and learn from experienced professionals.
  • Strong upward growth potential in a rapidly expanding business.
  • Fast-paced environment requiring independent judgment and adaptability.
  • Need to balance technical depth with business communication and stakeholder management.
  • Pressure to deliver actionable insights quickly, with limited guidance at times.
  • This role is ideal for a seasoned data scientist who enjoys applying ML to real-world marketing problems, thrives in a dynamic environment, and wants to drive measurable business impact.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Advance to Lead Data Scientist or Manager of Marketing Analytics.
  • Transition into broader data science leadership roles across the organization.
  • Deepen expertise in e-commerce and growth marketing analytics.
  • Build and deploy machine learning models for customer churn, sales prediction, and campaign performance.
  • Conduct A/B testing and regression analysis to optimize online ad performance and marketing strategies.
  • Create and maintain data pipelines to ensure data quality and availability for analysis.
  • Collaborate with marketing and CRM teams to provide data-driven recommendations and present insights to leadership.
  • Strong expertise in machine learning (5+ years) and statistical modeling.
  • Proficiency in SQL and Python for data manipulation and analysis.
  • Experience with cloud platforms (AWS/GCP) and data pipeline tools.
  • Excellent communication skills to translate data findings into business actions.

申请策略

  • Tailor your resume to highlight marketing analytics projects and business impact.
  • Prepare to discuss specific ML models you built and their business outcomes.
  • Emphasize hands-on experience building and deploying ML models in production.
  • Highlight SQL and Python proficiency with specific projects and results.
  • Showcase experience in A/B testing, growth marketing, or CRM analytics.
  • Include any experience with cloud platforms (AWS/GCP) and data engineering.
  • If lacking e-commerce experience, study common metrics (e.g., LTV, CAC, churn) and use cases.
  • Strengthen data pipeline and ETL skills using tools like Airflow or Spark.

面试指南

  • Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
  • For technical questions, explain your thought process, trade-offs, and validation steps.
  • Relate your answers to e-commerce or marketing contexts when possible.
  • Describe a machine learning model you deployed and how you measured its impact.
  • How do you approach A/B test design and analysis?
  • Explain how you would handle a data quality issue in a production pipeline.
  • Walk us through a time you influenced a business decision with data.
  • How do you prioritize multiple stakeholder requests in a fast-paced environment?

职位点评

70
综合评分

Senior data science role in a fast-growing e-commerce company offering strong technical development but demanding on-site presence and pace.

从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。

更适合这类人
This role is best for data scientists prioritizing career growth, technical challenge, and impact over work-life balance.
表现最好
成长发展
相对薄弱
工作生活
薪资福利75
成长发展85
工作生活40
使命价值70

薪资福利

75中等

This role offers competitive compensation for a senior data scientist in Taiwan, though exact salary is disclosed only via interviews. Benefits beyond standard may be limited.

薪资信号未披露（AI估算：35K-45K/月）

成长发展

85较高

The role provides strong growth potential through exposure to cutting-edge ML techniques, e-commerce data, and collaboration with a global team. Promotion is implied but not explicitly promised.

技术前沿前沿/新兴技术
技术栈Machine Learning、Cloud、A/B Testing、Data Pipeline
成长机会upward growth potential
业务类型profit_center

工作生活

40较低

The job requires on-site work in Taipei, with no mention of remote or flexible hours. The environment is described as fast-paced, suggesting possible overtime.

工作模式仅现场办公
办公地点市区核心地段
加班情况JD含高强度暗示词

使命价值

70中等

Coupang's mission to revolutionize shopping experience provides a sense of purpose, but the role is primarily commercial. The industry is high-growth, and the company is innovative.

行业发展高速增长赛道
社会影响中性/一般
使命信号wowing customers、create WOW experience
创新程度积极采用新技术

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